Job Posting Organization: The Wikimedia Foundation is a nonprofit organization that operates Wikipedia and other Wikimedia free knowledge projects. Founded with the mission to enable every single human being to freely share in the sum of all knowledge, the Foundation is dedicated to ensuring that everyone can contribute to and access this knowledge freely. It is a charitable organization that relies on donations from millions of individuals globally, with an average donation of about $1
The Foundation is a 501(c)(3) tax-exempt organization based in the United States, with offices located in San Francisco, California. The organization employs staff members and contractors across more than 40 countries, emphasizing a diverse workforce and an inclusive workplace.
Job Overview: As the Data Science Manager for Product Analytics, you will lead a team of data scientists responsible for providing insights that guide product strategies and decisions. Your role involves managing the delivery of accurate quantitative data and insights that inform product development and assess the impact of new features. You will work closely with product managers, designers, and engineers to ensure that data is accessible and actionable. The position requires you to create shared data processes and procedures to ensure timely delivery and data accuracy. You will also support the design of data products and tools that enhance data accessibility for stakeholders and decision-makers. The role demands a commitment to fostering a collaborative and inclusive culture within your team, mentoring team members, and continuously improving data practices.
Duties and Responsibilities:
Ensure timely delivery of accurate quantitative data and insights to inform strategy and guide product decisions.
Manage a team of approximately seven data scientists, fostering a collaborative and inclusive culture.
Mentor team members on critical thinking, data-informed storytelling, and technical skills.
Partner with Experiment Platform & Data Engineering teams to build and maintain accessible data products.
Collaborate with product teams and the Research & Decision Science group to promote data-informed product development.
Continuously develop and improve experimentation and measurement best practices, product health metrics, visualizations, and reports for easier interpretation and increased accessibility.
Proven experience collaborating with product development teams in fast-paced environments.
Prior experience in a people management role.
A demonstrated commitment to equity, inclusion, and diversity in the workplace.
Familiarity with large-scale data processing and storage tools such as Hadoop, Hive, Presto, and Spark.
Educational Background: A relevant educational background in data science, statistics, computer science, or a related field is preferred. Advanced degrees may be advantageous but are not strictly required if the candidate has substantial relevant experience.
Experience: Candidates should have significant experience in data science, particularly in managing teams and working with product development teams. Experience in a fast-paced environment where data-driven decision-making is critical is essential. Previous roles should demonstrate a track record of successful project management and team leadership.
Languages: While specific language requirements are not mentioned, proficiency in English is mandatory due to the international nature of the organization. Additional languages may be beneficial, especially those relevant to the Wikimedia communities.
Additional Notes: The Wikimedia Foundation operates as a remote-first organization, allowing staff to work from various locations. The position requires candidates to be located within the UTC+1 to UTC-8 time zones and be available for critical meetings and synchronous work between 14:00 and 22:00 UTC. Travel for offsites and conferences may be required up to four times a year. The anticipated annual pay range for applicants based in the United States is between US$132,439 and US$192,799, with adjustments for applicants located outside the US based on their country of hire. The Foundation is committed to equitable compensation and does not consider salary history in its hiring process.
Info
Job Posting Disclaimer
This job posting is provided for informational purposes only. The accuracy of the job description, qualifications, and other details mentioned is the sole responsibility of the employer or the organization listing the job. We do not guarantee the validity or legitimacy of this job posting. Candidates are advised to conduct their own due diligence and verify the details directly with the employer before applying.
We are not liable for any decisions or actions taken by applicants in response to this job listing. By applying, you agree that all application processes, interviews, and potential job offers are managed exclusively by the listed employer or organization.
Beware of fraudulent job offers. Do not provide sensitive personal information or make any payments to secure a job.